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Check if an object is a time series object in R

Data Science

This lesson is part 6 of 27 in the course Financial Time Series Analysis in R

In R, objects can be of different class such as vector, list, dataframe, ts, etc. When you load a dataset into R, it may not necessarily be a time series object. We can use the is.ts() function to test if the given object is a time series (ts) object or not.

Below we perform this test on all the objects we’ve created so far in this course.

> is.ts(msft_ts)
[1] TRUE
> is.ts(GDP_data)
[1] TRUE
> is.ts(sp_vector)
[1] FALSE
> is.ts(sp_ts)
[1] TRUE
>

As you can see, all objects return TRUE except sp_vector which is a vector.

Previous Lesson

‹ Creating a Time Series Object in R

Next Lesson

Plotting Financial Time Series Data (Multiple Columns) in R ›

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In this Course

  • Financial Time Series Data
  • Exploring Time Series Data in R
  • Plotting Time Series in R
  • Handling Missing Values in Time Series
  • Creating a Time Series Object in R
  • Check if an object is a time series object in R
  • Plotting Financial Time Series Data (Multiple Columns) in R
  • Characteristics of Time Series
  • Stationary Process in Time Series
  • Transforming a Series to Stationary
  • Time Series Transformation in R
  • Differencing and Log Transformation
  • Autocorrelation in R
  • Time Series Models
  • ARIMA Modeling
  • Simulate White Noise (WN) in R
  • Simulate Random Walk (RW) in R
  • AutoRegressive (AR) Model in R
  • Estimating AutoRegressive (AR) Model in R
  • Forecasting with AutoRegressive (AR) Model in R
  • Moving Average (MA) Model in R
  • Estimating Moving Average (MA) Model in R
  • ARIMA Modelling in R
  • ARIMA Modelling – Identify Model for a Time Series
  • Forecasting with ARIMA Modeling in R – Case Study
  • Automatic Identification of Model Using auto.arima() Function in R
  • Financial Time Series in R – Course Conclusion

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